Checking texts with a neural network-based linter in CI

This report is devoted to the development and implementation of a linter based on the YandexGPT public neural network model in a Continuous Integration (CI) system. The linter automatically corrects grammatical, punctuation and syntactic errors according to Russian language rules and the parameters set. The report also analyzes the effect and costs of implementing such a tool.